{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "patch vulnerability", "trigger": true, "arguments": ["common vulnerabilities and exposures", "patch", "vulnerable system version", "issues addressed", "patch number", "supported platform", "vulnerability", "vulnerable system", "releaser"]}, {"event_type": "data breach", "trigger": true, "arguments": ["number of data", "tool", "purpose", "victim", "place", "number of victim", "attacker", "damage amount", "time"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["time", "vulnerable system", "discoverer", "vulnerability", "common vulnerabilities and exposures"]}, {"event_type": "phishing", "trigger": true, "arguments": ["attack pattern", "victim", "attacker", "time", "purpose", "trusted entity", "tool", "place"]}, {"event_type": "ransom", "trigger": true, "arguments": ["tool", "payment method", "attack pattern", "time", "price", "victim", "attacker", "place"]}], "input": "Attackers used different tactics as the campaign progressed The PornHub and RedTube phishes were not the only ones ."}
{"patch vulnerability": [], "data breach": [], "discover vulnerability": [], "phishing": [{"trigger": "phishes", "arguments": {"attack pattern": "NAN", "victim": "NAN", "attacker": "NAN", "time": "NAN", "purpose": "NAN", "trusted entity": ["RedTube", "PornHub"], "tool": "NAN", "place": "NAN"}}], "ransom": []}